Tidy findings list; brand display name in H1

README.md

@@ -11,13 +11,17 @@ pinned: false
   <img src="https://raw.githubusercontent.com/protoLabsAI/.github/main/profile/assets/readme-banner.png" alt="protoLabs.studio" width="100%">
 </p>
 
-# protoLabsAI — open weights
+# protoLabs.studio — open weights
 
 The model shelf of [**protoLabs.studio**](https://protolabs.studio): an indie studio running experiments in the open. One person and a fleet of agents building games, simulators, and specialized agents on infrastructure we run ourselves — from the hardware up.
 
 We run 35B-class open models on a pair of prosumer Blackwell GPUs, and the builds that make that possible go up here for anyone to pull: **FP8 quants** and **speculative-decode heads**, parity-verified against the source before we ship. The recipe and the verification are the product, not just the weights.
 
-The findings behind them get written up at [protolabs.studio](https://protolabs.studio) — CUDA graphs running 37–470% faster on Blackwell, INT4 holding quality on dense models but corrupting MoE routing, `NCCL_P2P_DISABLE=1` clearing TP=2 corruption on PCIe for a 9.3× jump on a 35B MoE.
+The findings behind them get written up at [protolabs.studio](https://protolabs.studio):
+
+- CUDA graphs run **37–470% faster** on Blackwell
+- INT4 holds quality on dense models but corrupts MoE routing — so MoE stays bf16
+- `NCCL_P2P_DISABLE=1` clears TP=2 corruption on PCIe: **9.3×** on a 35B MoE
 
 ## The rest of the studio